"A search for literature reviews and academic research resources" matching MCP tools:

• search_arxivA

  academic-research-mcp-serverA

  Search the arXiv preprint repository for peer-reviewed academic papers in physics, mathematics, computer science, and related fields. Returns paper title, author list, abstract, publication date, PDF link, and category classification. Use for cutting-edge research, literature review, or staying current in academic fields.

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• search_arxivA

  Academic Research MCP ServerA

  Search the arXiv preprint repository for peer-reviewed academic papers in physics, mathematics, computer science, and related fields. Returns paper title, author list, abstract, publication date, PDF link, and category classification. Use for cutting-edge research, literature review, or staying current in academic fields.

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• search_papersA

  Core ResearchA

  Search open-access research papers by keyword (e.g., "machine learning healthcare"). Returns titles, authors, abstracts, DOIs, and download links. Useful for literature reviews and finding academic sources.

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• searchPapersA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".

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• post_scholar_search_mixedA

  AIsa Web Search & ResearchA

  Search the web and academic sources together, for questions that straddle both. ⚠️ Parameters go in the **query string**: `query` (required), `max_num_results`, `as_ylo`/`as_yhi`. Returns a search `id` and `results[]`; **the entry shape varies by source** — every result has `title`, `link` and `snippet`, and academic ones additionally carry `authors` and `number_of_citations`, so treat those two as optional rather than assuming they are there. Measured at about 3 seconds. Use it when you do not know in advance which kind of source will answer. When you do, `post_scholar_search_web` or `post_scholar_search_scholar` is more predictable. Keep the `id` for `post_scholar_search_explain`.

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• search_provider_reviewsA

  Insurance Research Expert by SpotA

  Search published provider reviews by query, Review Score range, and rating availability; sort alphabetically or by displayed Review Score. Scores equally weight eligible source ratings on a 10-point scale and use an approximate academic conversion for BBB grades. Use get_provider_reviews for source-level evidence.

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• get_field_orientationA

  Scholar FeedA

  Returns CANDIDATE FOUNDATIONAL PAPERS for a research topic — cheap retrieval only, no synthesis. Ranks papers by a blend of citation count (0.6 weight, captures importance) and semantic similarity to your topic (0.4 weight). Use this to bootstrap a literature survey or get a fast sense of the landscape. For a synthesized orientation report (key concepts, open problems, reading order), use the /field-guide skill which calls this tool internally. Does not require a Pro API key — no LLM calls are made.

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• fetchA

  OneQAZ Trading IntelligenceA

  Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape.

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• tourradar_vertex-review-searchA

  MolTravelB

  [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.

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• search_reviewsA

  Cochrane Medical ReviewsA

  Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).

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• register_agentA

  Agent Bounty JobsA

  Register as an agent on the bounty board and receive an API key. Required before posting or filling bounties. The key is shown ONCE — store it. How the board works: agents post bounties (tasks like literature research, dataset assembly, supplier sourcing, price discovery) with a stated USD reward; other agents submit results; the poster reviews and the FIRST ACCEPTED submission takes the bounty. BETA: rewards are stated by the poster and settled off-platform; the board records the award and a payment_ref. On-platform escrow lands with x402/Monetization Gateway support. Acceptable use: no bounties seeking personal information about individuals, credentials, or anything illegal.

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• hasdata_google_maps_search_performMapSearchA

  HasDataA

  Get Google Maps Search Results Runs a Google Maps search by keyword plus optional GPS coordinates (@lat,lng,zoomz via `ll`) with language, country, domain, and offset-based pagination (start). Returns the local pack list with placeId, name, address, coordinates, rating, review count, price level, categories, phone, website, hours, and thumbnail. Use for local lead generation, competitor density mapping, market expansion research, hyperlocal directories, and feeding placeIds into the Maps Place, Reviews, or Photos endpoints.

  ConnectorAPI key

• hasdata_google_maps_search_performMapSearchA

  Google Maps Remote MCP ServerA

  Get Google Maps Search Results Runs a Google Maps search by keyword plus optional GPS coordinates (@lat,lng,zoomz via `ll`) with language, country, domain, and offset-based pagination (start). Returns the local pack list with placeId, name, address, coordinates, rating, review count, price level, categories, phone, website, hours, and thumbnail. Use for local lead generation, competitor density mapping, market expansion research, hyperlocal directories, and feeding placeIds into the Maps Place, Reviews, or Photos endpoints.

  ConnectorAPI key

• hasdata_google_maps_search_performMapSearchA

  HasDataA

  Get Google Maps Search Results Runs a Google Maps search by keyword plus optional GPS coordinates (@lat,lng,zoomz via `ll`) with language, country, domain, and offset-based pagination (start). Returns the local pack list with placeId, name, address, coordinates, rating, review count, price level, categories, phone, website, hours, and thumbnail. Use for local lead generation, competitor density mapping, market expansion research, hyperlocal directories, and feeding placeIds into the Maps Place, Reviews, or Photos endpoints.

  ConnectorAPI key

• ror.organizations.affiliationA

  apibaseB

  Intelligently match a free-text affiliation string (as found in academic paper bylines or grant records) to research organizations in the ROR registry. Pass the raw affiliation text exactly as it appears — e.g. "Dept. of Physics, Univ. of California, Berkeley, CA, USA" or "Max-Planck-Institut für Astronomie, Heidelberg". ROR's affiliation matching algorithm performs substring detection, name-variant lookup, and scoring to identify candidate organizations. Returns each candidate with: confidence score (0–1), a "chosen" boolean (the best single match), matching_type (e.g. SINGLE SEARCH, COMMON TERMS), and the organization's ROR ID, canonical name, type, and country. Ideal for metadata curation, ORCID affiliation disambiguation, funder acknowledgment normalization, and building organization-level research analytics from unstructured text.

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• find_methodologyA

  OpenArxB

  Find methodology approaches for a specific research task. Returns structured method-level results (not raw chunks): method name, key idea, dataset used, performance metric. Filters by task domain, dataset, metric. Built on LLM-classified contentType=methodology chunks combined with benchmark results JOIN. Use this instead of `search` when you want HOW researchers approach a problem rather than 10 papers about it. Note: surfaces any chunk classified as methodology, including ones where the task is mentioned only as a toy example. Filter by category (e.g. cs.CV for image tasks) to narrow scope. This searches EXISTING papers for methods others have published (literature search) — it is NOT a guide for conducting your own research: for a step-by-step scientific method tailored to your own research question, start with the `methodist` door.

  ConnectorAPI key

• list_resume_templatesA

  ResumeMDA

  All 32 ResumeMD templates with a one-line description of each. The same Markdown renders in every template, so use this to recommend a look for the user (for example: tech for engineers, executive for leadership roles, academic for research CVs). Template ids are also valid input to render_resume_pdf.

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• search_biomedical_literatureA

  Noodle Biomedical Literature Discovery MCPA

  Semantically search Noodle's public PubMed-derived biomedical corpus. Include known PMID, DOI, or PMCID identifiers in the query so they can act as exact anchors. Results are for literature discovery and professional review, not diagnosis or treatment.

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• search_scientific_evidenceA

  Klarix Intelligence EngineA

  Retrieve verifiable academic and engineering literature for a technical topic so a claim can cite a resolvable DOI instead of a vendor blog post. Queries Semantic Scholar (citation graph, abstracts, open-access PDFs) and the arXiv preprint index, merges duplicates, and ranks by citation count then recency. Returns title, authors, year, DOI / arXiv URL, citation count, and an extractive key finding taken verbatim from the abstract. Keyless; set SEMANTIC_SCHOLAR_API_KEY to escape the shared anonymous rate limit.

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• bhl.taxonomy.name_searchA

  apibaseB

  Search the Biodiversity Heritage Library for confirmed scientific (Latin) names matching a given taxonomic query. Useful for discovering historical name variants, author citations, and subspecies/variety designations for a taxon as recorded in classic natural-history literature. Returns a list of confirmed name strings in the form "Genus species Author, Year". Use bhl.literature.search with the confirmed name to find publications containing it.

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• google-maps.place_reviewsA

  Vee3A

  Get reviews for a Google Maps place. Provide place_id from search results. The identifier also accepts the business identifier form (0x...:0x...). Optional sort_by (Relevant, Lowest, Highest, Newest), cursor, region, and language are supported. Pass cursor from a previous cursor_next to fetch the next page. Returns place metadata and a reviews array. Each review includes fields such as review_id, review_text, rating, and user_name. cursor_next appears only when a pagination cursor is available. Additional upstream fields may appear. Cost = 3 tokens.

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